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Evaluating the success of cluster analysis methods
Maršálková, Kateřina ; Löster, Tomáš (advisor) ; Makhalova, Elena (referee)
Cluster analysis is one of the classification methods of multivariate statistical analysis. The task of this analysis is to classify the objects into clusters so that objects inside these clusters are as similar as possible. The aim of this study is to evaluate the success of the classification of objects using six hierarchical cluster analysis methods. To reflect the distance between the objects, are used squared Euclidean and Mahalanobis distances. The success methods are evaluated through the information, which cluster the object belongs to, and this information is already contained in the data files. This thesis pointed out that the Ward's method is one of the most successful hierarchical method in a classification of objects into clusters. This method has been more successful in sorting objects than the other hierarchical methods, both in the case of leaving the correlated variables in the data file as well as removing them. The results of this work show that the highest success of classification objects into clusters is when the data set is cleaned of correlated variables. If the data file is not cleaned, the methods reach better results when the distance between objects is measured by Euclidean metric.
Analytická studie vybraného katastrálního území obce Moravský Žižkov
Maršálková, Kateřina
Maršálková, K. An analytical study of the selected cadastral municipality Moravský Žižkov. Bachelor thesis. Brno, 2014. The bachelor thesis comprehensively evaluates the conditions of the area called Moravský Žižkov in landscape, social, cultural and economical terms. The evaluation of tourism potential of the village and the analysis of the village state according to the selected methods are also included in the work. In the following part, there is developed the analysis of SWOP which is followed by the analysis NEED. The steps, which should lead to the positive development and the improvement of the village, are suggested in the conclusion.

See also: similar author names
1 MARŠÁLKOVÁ, Kamila
2 Maršálková, Kristina
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